eResearch Grants - Victoria University Special Round Eight
Project Title: Direct Numerical Simulations of
Turbulent Flows in Cylindrical Coordinate Systems
Project Chief Investigator: Dr Jun-De Li
Funding Obtained: $20,000
Project Summary: Direct numerical simulation (DNS) of turbulent flows started
in the late 1970's and became popular in the 1980's and 1990's. In DNS, the
governing equations for turbulence (Navier-Stokes equations) are solved
numerically down to the respective smallest length &d time scales without
using turbulence models. Because of the large number of length and time scales
involved, it requires very high speed computers with large memories, and it has
only been applied to 3D turbulent flow fields with periodical. boundary
conditions in at least two directions such as isotropic turbulence and
turbulent channel flows. Also because of the high accuracy and fast convergence
required, the commonly used finite difference and finite element numerical
schemes are generally not adequate, and spectral method is the preferred choice
in DNS. In performing DNS, the main limitation in speed is solving Poisson type
equations. In this project, the fast Poisson solver in cylindrical coordinate
systems with spectral accuracy developed by the Chief Investigator recently
will first be coded using C (or Fortran) language.
Various boundary conditions will be incorporated into the
code so that it can be developed as a generic solver to be used not only for
DNS but also for applications in other fields. Expertises at VPAC will be
required to parallelise the code so that it can be run in cluster of computers
at high speed. The code will then be used as a base for developing DNS code for
simulating turbulent flows in cylindrical coordinate systems such as flows in
pipes and between rotating cylinders (Taylor-Couette flows). The codes will be
run at different Reynolds numbers to study: (1) the transition of laminar I
flows to turbulent flows in the two different flow geometries, (2) the Reynolds
number effects in low Reynolds number turbulent flows, and (3) the highest
Reynolds numbers can be simulated for turbulent flows in pipes and rotating
cylinders using the computation capability of VPAC and APAC.
Project Title: Modelling coral atoll hydrodynamics
and habitat suitability to inform sustainable human resettlement of Rongelap
Atoll, Republic of the
Project Chief Investigator: Eric Peterson
Funding Obtained: $20,067
Project Summary: Working with coral reef specialists in the Marshall
Islands based non-government organization NRAS-conservation, I propose to use
VPAC facilities and the Commonwealth Bureau of Meteorology and CSIRO
"BLUElink> Ocean Forecasting" research products to map and
simulate the atmospheric and hydrodynamic microclimates of Rongelap atoll to
classify habitat suitability zones. This work employs previous findings of the
interactions between physical oceanography and biodiversity, and the outcome
will be to inform marine protected area design by the Rongelap atoll local
government RalGov. The model will be validated by natural resource assessment
surveys conducted in the Republic of the Marshall Islands 2002-2006 and
findings from Woods Hole Oceanographic Institute.
Application Hydrodynamics may explain what drives larval
distribution in and around an isolated atoll and what are the physical
qualities that are important in ecological function and habitat suitability.
Project Title: Web-based hospital management using
discrete event simulation and data visualization
Project Chief Investigator: Gitesh Raikundalia
Funding Obtained: $12,268
Project Summary: Hospital simulation is an area that needs to be
addressed if hospitals are to be managed efficiently and effectively. Hospital
management decision-making needs to deal with several major factors, such as
patient flow, staffing and clinical resources. One of the investigators has
developed a tool, G2 Exchange, that simulates scenarios at
Project Title: In search of grid independent results for the simulation of an ISO 9705 room fire using the CFD model, FDS
Project Chief Investigator: Professor. Ian Thomas
Funding Obtained: $9,332
Project Summary: The aim of this
e-research project is to obtain grid independent results when conducting
numerical simulation of an ISO 9705 room fire experiment using a computational
fluid dynamics (CFD) model commonly used by fire safety engineers in
To obtain any meaningful result, it is imperative to achieve grid independence while simulating a fire scenario, not just using arbitrary cell size. Such numerical testing was attempted for a liquid fuel fire within an ISO 9705 room and it was found that, even after using cell sizes down to 12.5 mm, convergence had not been achieved. When an attempt was made to reduce the cell size below 12.5 mm, the PC could not run the simulation. When contacted, the FDS developer acknowledged that obtaining grid convergence is a major challenge for FDS. The developers postulated that by modifying the stoichiometric ratio it is possible to get a reasonable approximation to the heat release rate (HRR) of the fire, even when the fire is not well-resolved. Such an automatic modification routine is included in FDS. However, this routine may fail if the grid resolution is too coarse. Most fire safety engineers are not aware of this limitation. While simulating a fire scenario using the FDS model, most fire safety engineers use computational cell size that can only be supported by their computing resources. The objective of this project is to evaluate how numerical results for the simulation of a simple fuel package (liquid) fire in an ISO 9705 room vary with the change of computational cell size and what computer resources are required to obtain a grid-independent result for this fire scenario. From these numerical data an analysis of the applicability of results to all compartment fires will also be carried out with an intention to propose a universal non-dimensional profile. This proposed profile will be extremely useful for fire safety engineers in making a judgment of their fire simulation results obtained using computationally viable grids.
Project Title: Semi-automating the process of marking up sentencing decisions in order to use knowledge discovery to analyse the sentencing process.
Project Chief Investigator: Professor John Zeleznikow
Funding Obtained: $13,333
Project Summary: It is proposed
to develop a plea-bargaining
system to support sentencing negotiations between Victoria Legal Aid (VLA) defence counsel and the
Victorian Office of Public Prosecution. (Stranieri and Zeleznikow 2005) detail
on-going research in the domain of knowledge discovery from legal databases. A 2000 VPAC grant, the automated
detection of change in concepts by analysing data, investigated how (VLA)
distributes its legal aid grants. The research indicated to VLA how it could
appropriately use its funds. It was the basis of the GetAid system which is
being used by VLA to determine eligibility for legal aid (see (Stranieri et a1
2000), (Stranieri and Zeleznikow 2000) and (Ivkovic et a1 2003).
To construct our plea-bargaining system we are utilising a modified Touhin argument structure to construct the relevant ontology. The sentencing ontology is being elicited from domain experts. There are approximately 70 factors that a judge may take in to account when making a decision. Given our large data set (the 2004-5 year consisted of 438 judgments, each being approximately 10 pages), we wish to use a data mining technique, such as association rules, to learn relationships between the variables involved in the determination of a sentence.
Concurrent with this exploration we would like to investigate the possibility of semi-automating the process of marking up the sentencing decisions. Using an open source software package TAMS analyser (http://tarnsvs.sourceforge.net/), the written sentencing decisions can be marked up. For each sentencing decision, an attempt is made to identify as many factors as possible. This is currently a manual process. It would be extremely useful to m o w this software to enable the semi-automation of this task. It is necessary to retain the generic concept of this program so that it can be made part of a tool box for building sentencing decision support systems in other jurisdictions.
I 1. Develop the TAMS tool to enable the semi-automation of the collection of the sentencing factors from written decisions.
2.2. Support the analysis of the large free text sentencing data set by association rules and possibly other valid data mining techniques.